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# Retrain Workspace
Cream/Cream/experiments/workspace/retrain/README.md/0
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import math import torch.nn as nn from timm.utils import * from timm.models.layers.activations import Swish from timm.models.layers import CondConv2d, get_condconv_initializer def parse_ksize(ss): if ss.isdigit(): return int(ss) else: return [int(k) for k in ss.split('.')] def decode_arch_d...
Cream/Cream/lib/utils/builder_util.py/0
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# EfficientViT for Object Detection and Instance Segmentation The codebase implements the object detection and instance segmentation framework with [MMDetection](https://github.com/open-mmlab/mmdetection), using EfficientViT as the backbone. ## Model Zoo ### RetinaNet Object Detection |Model | Pretrain | Lr Schd | B...
Cream/EfficientViT/downstream/README.md/0
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# model settings norm_cfg = dict(type='BN', requires_grad=False) model = dict( type='FasterRCNN', pretrained='open-mmlab://detectron2/resnet50_caffe', backbone=dict( type='ResNet', depth=50, num_stages=3, strides=(1, 2, 2), dilations=(1, 1, 1), out_indices=(2,...
Cream/EfficientViT/downstream/configs/_base_/models/faster_rcnn_r50_caffe_c4.py/0
{ "file_path": "Cream/EfficientViT/downstream/configs/_base_/models/faster_rcnn_r50_caffe_c4.py", "repo_id": "Cream", "token_count": 2254 }
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# optimizer optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001) optimizer_config = dict(grad_clip=None) # learning policy lr_config = dict( policy='step', warmup='linear', warmup_iters=500, warmup_ratio=0.001, step=[16, 22]) runner = dict(type='EpochBasedRunner', max_epochs=24)
Cream/EfficientViT/downstream/configs/_base_/schedules/schedule_2x.py/0
{ "file_path": "Cream/EfficientViT/downstream/configs/_base_/schedules/schedule_2x.py", "repo_id": "Cream", "token_count": 135 }
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import torch import rpe_index_cpp EXPECTED_VERSION = "1.2.0" assert rpe_index_cpp.version() == EXPECTED_VERSION, \ f"""Unmatched `rpe_index_cpp` version: {rpe_index_cpp.version()}, expected version: {EXPECTED_VERSION} Please re-build the package `rpe_ops`.""" class RPEIndexFunction(torch.autograd.Function):...
Cream/MiniViT/Mini-DeiT/rpe_ops/rpe_index.py/0
{ "file_path": "Cream/MiniViT/Mini-DeiT/rpe_ops/rpe_index.py", "repo_id": "Cream", "token_count": 1572 }
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MODEL: TYPE: swin NAME: swin_tiny_patch4_window7_224 DROP_PATH_RATE: 0.2 SWIN: EMBED_DIM: 96 DEPTHS: [ 2, 2, 6, 2 ] NUM_HEADS: [ 3, 6, 12, 24 ] WINDOW_SIZE: 7
Cream/MiniViT/Mini-Swin/configs/swin_tiny_patch4_window7_224.yaml/0
{ "file_path": "Cream/MiniViT/Mini-Swin/configs/swin_tiny_patch4_window7_224.yaml", "repo_id": "Cream", "token_count": 102 }
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OPENAI_DATASET_MEAN = (0.48145466, 0.4578275, 0.40821073) OPENAI_DATASET_STD = (0.26862954, 0.26130258, 0.27577711)
Cream/TinyCLIP/src/open_clip/constants.py/0
{ "file_path": "Cream/TinyCLIP/src/open_clip/constants.py", "repo_id": "Cream", "token_count": 66 }
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import hashlib import os import time import urllib import warnings from functools import partial from typing import Dict, Union from tqdm import tqdm from .version import __version__ try: from huggingface_hub import hf_hub_download hf_hub_download = partial( hf_hub_download, library_name="open_clip",...
Cream/TinyCLIP/src/open_clip/pretrained.py/0
{ "file_path": "Cream/TinyCLIP/src/open_clip/pretrained.py", "repo_id": "Cream", "token_count": 6734 }
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# -------------------------------------------------------- # TinyViT Utils # Copyright (c) 2022 Microsoft # -------------------------------------------------------- import torch import torch.distributed as dist def reduce_tensor(tensor, n=None): if n is None: n = dist.get_world_size() rt = tensor.clo...
Cream/TinyCLIP/src/training/my_meter.py/0
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MODEL: NAME: TinyViT-21M-1k TYPE: tiny_vit DROP_PATH_RATE: 0.2 TINY_VIT: DEPTHS: [ 2, 2, 6, 2 ] NUM_HEADS: [ 3, 6, 12, 18 ] WINDOW_SIZES: [ 7, 7, 14, 7 ] EMBED_DIMS: [96, 192, 384, 576]
Cream/TinyViT/configs/1k/tiny_vit_21m.yaml/0
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""" AutoAugment, RandAugment, and AugMix for PyTorch This code implements the searched ImageNet policies with various tweaks and improvements and does not include any of the search code. AA and RA Implementation adapted from: https://github.com/tensorflow/tpu/blob/master/models/official/efficientnet/autoaugment.p...
Cream/TinyViT/data/augmentation/auto_augment.py/0
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""" A dataset parser that reads tarfile based datasets This parser can read and extract image samples from: * a single tar of image files * a folder of multiple tarfiles containing imagefiles * a tar of tars containing image files Labels are based on the combined folder and/or tar name structure. Hacked together by ...
Cream/TinyViT/data/augmentation/parsers/parser_image_in_tar.py/0
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# -------------------------------------------------------- # TinyViT Utils (save/load checkpoints, etc.) # Copyright (c) 2022 Microsoft # Based on the code: Swin Transformer # (https://github.com/microsoft/swin-transformer) # Adapted for TinyViT # -------------------------------------------------------- import os im...
Cream/TinyViT/utils.py/0
{ "file_path": "Cream/TinyViT/utils.py", "repo_id": "Cream", "token_count": 6809 }
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# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved """ Various positional encodings for the transformer. """ import math import torch from torch import nn from util.misc import NestedTensor class PositionEmbeddingSine(nn.Module): """ This is a more standard version of the position embeddi...
Cream/iRPE/DETR-with-iRPE/models/position_encoding.py/0
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# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved """ Misc functions, including distributed helpers. Mostly copy-paste from torchvision references. """ import os import subprocess import time from collections import defaultdict, deque import datetime import pickle from typing import Optional, List...
Cream/iRPE/DETR-with-iRPE/util/misc.py/0
{ "file_path": "Cream/iRPE/DETR-with-iRPE/util/misc.py", "repo_id": "Cream", "token_count": 7011 }
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from .default import _C as config from .default import update_config from .default import _update_config_from_file from .default import save_config
CvT/lib/config/__init__.py/0
{ "file_path": "CvT/lib/config/__init__.py", "repo_id": "CvT", "token_count": 38 }
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from .build import build_optimizer
CvT/lib/optim/__init__.py/0
{ "file_path": "CvT/lib/optim/__init__.py", "repo_id": "CvT", "token_count": 9 }
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InvalidTimestamps = '''The timestamp column specified is malformed.''' InvalidSeriesOrder = '''The timestamp column specified is not in ascending order.''' DuplicateSeriesTimestamp = '''The timestamp column specified has duplicated timestamps.''' InvalidValueFormat = '''The data in column "{0}" can not be parsed as flo...
anomalydetector/aml_component/error_messages.py/0
{ "file_path": "anomalydetector/aml_component/error_messages.py", "repo_id": "anomalydetector", "token_count": 220 }
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from setuptools import setup, find_packages, Extension from Cython.Build import cythonize from Cython.Distutils import build_ext import numpy as np __version__ = "can't find version.py" exec(compile(open('version.py').read(), 'version.py', 'exec')) extensions = [ Extension("msanomalydetector._anomaly...
anomalydetector/setup.py/0
{ "file_path": "anomalydetector/setup.py", "repo_id": "anomalydetector", "token_count": 430 }
352
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from abc import abstractmethod from typing import Any from overrides import EnforceOverrides class DatasetProvider(EnforceOverrides): """Abstract class for dataset providers. This class serves as a base for implementing dataset provid...
archai/archai/api/dataset_provider.py/0
{ "file_path": "archai/archai/api/dataset_provider.py", "repo_id": "archai", "token_count": 903 }
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from typing import Union, Optional from pathlib import Path import pandas as pd def get_search_csv(output_path: Union[str, Path], iteration_num: Optional[int] = -1) -> pd.DataFrame: """Reads the search csv file from the output path and retu...
archai/archai/common/notebook_helper.py/0
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from typing import Callable, Optional from overrides import overrides from torch.utils.data import Dataset from torchvision.datasets import Flowers102 from torchvision.transforms import ToTensor from archai.api.dataset_provider import DatasetPr...
archai/archai/datasets/cv/flowers102_dataset_provider.py/0
{ "file_path": "archai/archai/datasets/cv/flowers102_dataset_provider.py", "repo_id": "archai", "token_count": 811 }
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. # # Copyright (c) Hazy Research. # Licensed under the BSD-3-Clause license. # https://github.com/HazyResearch/flash-attention/blob/main/training/src/datamodules from __future__ import annotations import math import mmap import sys from typing im...
archai/archai/datasets/nlp/fast_hf_dataset_provider_utils.py/0
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import random from pathlib import Path from typing import List, Optional from overrides import overrides from tqdm import tqdm from archai.common.ordered_dict_logger import OrderedDictLogger from archai.discrete_search.api.archai_model import A...
archai/archai/discrete_search/algos/local_search.py/0
{ "file_path": "archai/archai/discrete_search/algos/local_search.py", "repo_id": "archai", "token_count": 3521 }
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license.
archai/archai/discrete_search/evaluators/nlp/__init__.py/0
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from archai.discrete_search.search_spaces.benchmark.natsbench_tss import ( NatsbenchTssSearchSpace, )
archai/archai/discrete_search/search_spaces/benchmark/__init__.py/0
{ "file_path": "archai/archai/discrete_search/search_spaces/benchmark/__init__.py", "repo_id": "archai", "token_count": 58 }
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from .codegen.model import CodeGenForCausalLM, CodeGenConfig from .gpt2.model import GPT2LMHeadModel, GPT2Config BACKBONES = { 'codegen': CodeGenForCausalLM, 'gpt2': GPT2LMHeadModel } CONFIGS = { 'codegen': CodeGenConfig, 'gpt2': GPT2Config }
archai/archai/discrete_search/search_spaces/nlp/tfpp/backbones/__init__.py/0
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# TD: [2023-01-05]: Extracted the OptimModule class from # https://github.com/HazyResearch/state-spaces/blob/06dbbdfd0876501a7f12bf3262121badbc7658af/src/models/sequence/ss/kernel.py import torch.nn as nn class OptimModule(nn.Module): """ Interface for Module that allows registering buffers/parameters with confi...
archai/archai/discrete_search/search_spaces/nlp/tfpp/ops/ssm_utils/utils.py/0
{ "file_path": "archai/archai/discrete_search/search_spaces/nlp/tfpp/ops/ssm_utils/utils.py", "repo_id": "archai", "token_count": 313 }
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import json from copy import deepcopy from hashlib import sha1 from random import Random from typing import Any, Dict, List, Optional import torch from overrides import overrides from transformers.modeling_utils import no_init_weights from trans...
archai/archai/discrete_search/search_spaces/nlp/transformer_flex/search_space.py/0
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from overrides import overrides from archai.supergraph.algos.darts.bilevel_arch_trainer import BilevelArchTrainer from archai.supergraph.algos.darts.darts_model_desc_builder import DartsModelDescBuilder from archai.supergraph.nas.arch_trainer im...
archai/archai/supergraph/algos/darts/darts_exp_runner.py/0
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"""Builds the Pytorch computational graph. Tensors flowing into a single vertex are added together for all vertices except the output, which is concatenated instead. Tensors flowing out of input are always added. If interior edge channels don't match, drop the extra channels (channels are guaranteed non-decreasing). ...
archai/archai/supergraph/algos/nasbench101/model.py/0
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import os import torch import torch.nn as nn __all__ = ['AlexNet','alexnet'] class AlexNet(nn.Module): def __init__(self,num_classes=1000,init_weights='True'): super(AlexNet,self).__init__() self.features=nn.Sequential( nn.Conv2d(3, 96, kernel_size=(11,11), stride=(4,4), padding=2), ...
archai/archai/supergraph/models/alexnet.py/0
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import copy from typing import Dict, Optional, Tuple from overrides import EnforceOverrides from archai.common.config import Config from archai.common.ordered_dict_logger import get_global_logger from archai.supergraph.datasets import data from...
archai/archai/supergraph/nas/searcher.py/0
{ "file_path": "archai/archai/supergraph/nas/searcher.py", "repo_id": "archai", "token_count": 2713 }
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# Copyright (c) 2020 abhuse. # Licensed under the MIT license. # https://github.com/ildoonet/pytorch-gradual-warmup-lr from typing import Any, Dict, List, Optional from torch.optim.lr_scheduler import ReduceLROnPlateau, _LRScheduler from torch.optim.optimizer import Optimizer class GradualWarmupScheduler(_LRSchedul...
archai/archai/trainers/gradual_warmup_scheduler.py/0
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# in toy mode, load the confif for algo and then override with common settings for toy mode # any additional algo specific toy mode settings will go in this file __include__: ['divnas.yaml', 'toy_common.yaml'] # disable seed train and post train by setting the epochs to 0 nas: search: seed_train: trainer: ...
archai/confs/algos/divnas_toy.yaml/0
{ "file_path": "archai/confs/algos/divnas_toy.yaml", "repo_id": "archai", "token_count": 159 }
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common: checkpoint: freq: 20 dataset: max_batches: -1 autoaug: loader: epochs: 200 batch: 512 lr_schedule: type: 'cosine' warmup: multiplier: 4 epochs: 5 optimizer: lr: 0.1 type: 'sgd' nesterov: True d...
archai/confs/aug/aug_cifar_sgd_resnet50.yaml/0
{ "file_path": "archai/confs/aug/aug_cifar_sgd_resnet50.yaml", "repo_id": "archai", "token_count": 221 }
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__include__: './size_224x224_base.yaml' # inherit settings for 224x224 dataset dataset_eval: # search dataset default is cifar10, we override eval dataset to sport8 name: 'sport8' n_classes: 8 channels: 3 # number of channels in image max_batches: -1 # if >= 0 then only these many batches are generated (useful...
archai/confs/datasets/sport8.yaml/0
{ "file_path": "archai/confs/datasets/sport8.yaml", "repo_id": "archai", "token_count": 126 }
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import argparse import uuid import json import os from archai.common.store import ArchaiStore from commands import make_train_model_command from azure.ai.ml import Input, MLClient from azure.ai.ml.identity import AzureMLOnBehalfOfCredential from azure.identity import DefaultAzureCredential from archai.discrete_search.s...
archai/docs/advanced_guide/cloud/azure/notebooks/multi_node_search/scripts/training_pipeline.py/0
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<jupyter_start><jupyter_text>Implementing a Custom TrainerAbstract base classes (ABCs) define a blueprint for a class, specifying its methods and attributes, but not its implementation. They are important in implementing a consistent interface, as they enforce a set of requirements on implementing classes and make it e...
archai/docs/getting_started/notebooks/api/trainer_base.ipynb/0
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<jupyter_start><jupyter_text>Creating Memory Mapped NLP-based DataIn this notebook, we will use a fast dataset provider-based abstraction that interfaces with Hugging Face's `datasets` (and has been created by HazyResearch). The key advantage of this approach is the use of either shared memory or memory maps in Python ...
archai/docs/getting_started/notebooks/nlp/fast_hf_dataset_provider.ipynb/0
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Computer Vision =============== .. toctree:: :maxdepth: 2 archai.datasets.cv.transforms FGVC Aircraft Dataset Provider ------------------------------ .. automodule:: archai.datasets.cv.aircraft_dataset_provider :members: :undoc-members: :show-inheritance: Caltech-Based Dataset Provider -------------...
archai/docs/reference/api/archai.datasets.cv.rst/0
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Segmentation DAG ================ Model ----- .. automodule:: archai.discrete_search.search_spaces.cv.segmentation_dag.model :members: :undoc-members: Operators --------- .. automodule:: archai.discrete_search.search_spaces.cv.segmentation_dag.ops :members: :undoc-members: Search Space ------------ .....
archai/docs/reference/api/archai.discrete_search.search_spaces.cv.segmentation_dag.rst/0
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NasBench-101 ============ Base Operators -------------- .. automodule:: archai.supergraph.algos.nasbench101.base_ops :members: :undoc-members: Operators --------- .. automodule:: archai.supergraph.algos.nasbench101.nasbench101_op :members: :undoc-members: Configuration ------------- .. automodule:: ar...
archai/docs/reference/api/archai.supergraph.algos.nasbench101.rst/0
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Roadmap ======= This section of the documentation is designed to give users a sense of what to expect from Archai in the coming months and years, and to provide insight into the direction and focus of future work. The roadmap is organized into broad categories or themes, with each category representing a key area. Wi...
archai/docs/reference/roadmap.rst/0
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# Copyright (c) EleutherAI. # Licensed under the MIT license. # https://github.com/EleutherAI/lm-evaluation-harness/blob/master/main.py import fnmatch from typing import List def pattern_match(patterns: List[str], source_list: List[str]) -> List[str]: task_names = set() for pattern in patterns: for ...
archai/research/lm_eval_harness/lm_eval_harness/utils/regex.py/0
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#!/bin/bash #fail if any errors set -e nvidia-smi --list-gpus gpu_count=$(nvidia-smi --query-gpu=name --format=csv,noheader | wc -l) echo "*****************************************" echo "Using $gpu_count GPUS" echo "*****************************************" set -e -o xtrace python -m torch.distributed.launch --...
archai/scripts/supergraph/dist_main.sh/0
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. # Copyright 2019 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apac...
archai/scripts/supergraph/nasbench101/archai_train.py/0
{ "file_path": "archai/scripts/supergraph/nasbench101/archai_train.py", "repo_id": "archai", "token_count": 1327 }
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import argparse import os import pathlib import re from collections import OrderedDict from inspect import getsourcefile import subprocess import sys from typing import Dict, Iterator, List, Tuple import matplotlib import yaml try: from run...
archai/scripts/supergraph/reports/exprep.py/0
{ "file_path": "archai/scripts/supergraph/reports/exprep.py", "repo_id": "archai", "token_count": 6983 }
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from argparse import ArgumentParser from pathlib import Path import os import sys import yaml from typing import Optional, Dict from azure.identity import DefaultAzureCredential from azure.ai.ml.entities import UserIdentityConfiguration from azure...
archai/tasks/face_segmentation/aml.py/0
{ "file_path": "archai/tasks/face_segmentation/aml.py", "repo_id": "archai", "token_count": 3186 }
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import argparse import os import sys from archai.common.store import ArchaiStore CONNECTION_NAME = 'MODEL_STORAGE_CONNECTION_STRING' def unlock(con_str, experiment_name): parser = argparse.ArgumentParser( description='Unlock all job...
archai/tasks/face_segmentation/aml/azure/unlock.py/0
{ "file_path": "archai/tasks/face_segmentation/aml/azure/unlock.py", "repo_id": "archai", "token_count": 341 }
383
ο»Ώ<?xml version="1.0" encoding="utf-8"?> <DirectedGraph GraphDirection="TopToBottom" Layout="Sugiyama" Offset="-1829.8148940022802,-883.0494917160034" ZoomLevel="1" xmlns="http://schemas.microsoft.com/vs/2009/dgml"> <Nodes> <Node Id="..." Bounds="-891.259155273438,-398.550804903068,50,25.96" UseManualLocation="Tru...
archai/tasks/face_segmentation/aml/images/snpe.dgml/0
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## Readme This folder contains code for running models using the Qualcomm SNPE Neural Processing SDK, including quantizing those models and running them on the Qualcomm DSP. This folder uses http://github.com/microsoft/olive to do the actual SNPE work. 1. **Snapdragon 888 Dev Kit** - get one of these [Snapdragon 888 ...
archai/tasks/face_segmentation/aml/snpe/readme.md/0
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """Adapted from torchvision https://github.com/pytorch/vision/blob/main/references/classification/train.py""" import copy import datetime import os import time import warnings import torch import torch.utils.data import torchvision import transf...
archai/tasks/facial_landmark_detection/train.py/0
{ "file_path": "archai/tasks/facial_landmark_detection/train.py", "repo_id": "archai", "token_count": 8576 }
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{ "arch_type": "gpt2", "d_inner": 960, "d_model": 704, "dropatt": 0.0, "max_sequence_length": 1024, "n_head": 2, "n_layer": 9, "vocab_size": 50257 }
archai/tasks/text_generation/models/gpt2_46e7c68a025417e20a7e13bd4c1ee71438d28069/0
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from unittest.mock import MagicMock from overrides import overrides from archai.api.trainer_base import TrainerBase class MyTrainer(TrainerBase): def __init__(self) -> None: super().__init__() @overrides def train(self) -...
archai/tests/api/test_trainer_base.py/0
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import pytest from archai.datasets.nlp.tokenizer_utils.token_config import ( SpecialTokenEnum, TokenConfig, ) @pytest.fixture def token_config(): return TokenConfig( bos_token="<bos>", eos_token="<eos>", unk...
archai/tests/datasets/nlp/tokenizer_utils/test_token_config.py/0
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from typing import List from unittest.mock import MagicMock import numpy as np from overrides import overrides from archai.discrete_search.api.archai_model import ArchaiModel from archai.discrete_search.api.search_space import ( BayesOptSea...
archai/tests/discrete_search/api/test_search_space.py/0
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import pytest from transformers import PretrainedConfig from archai.onnx.config_utils.codegen_onnx_config import CodeGenOnnxConfig @pytest.fixture def dummy_config_codegen(): class DummyConfig(PretrainedConfig): max_position_embedd...
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import pytest from archai.quantization.quantization_utils import rgetattr, rsetattr @pytest.fixture def obj(): class DummyInnerObject: def __init__(self): self.attr = "some inner value" class DummyObject: d...
archai/tests/quantization/test_quantization_utils.py/0
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# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import numpy as np import pytest import torch from torch.optim import SGD from archai.trainers.gradual_warmup_scheduler import GradualWarmupScheduler @pytest.fixture def optimizer(): return SGD([torch.randn(2, 2, requires_grad=True)], 0.1)...
archai/tests/trainers/test_gradual_warmup_scheduler.py/0
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
azure-devops-python-api/azure-devops/azure/devops/v7_0/notification/models.py/0
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
azure-devops-python-api/azure-devops/azure/devops/v7_0/pipelines/pipelines_client.py/0
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
azure-devops-python-api/azure-devops/azure/devops/v7_0/task_agent/__init__.py/0
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
azure-devops-python-api/azure-devops/azure/devops/v7_1/customer_intelligence/models.py/0
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
azure-devops-python-api/azure-devops/azure/devops/v7_1/identity/__init__.py/0
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
azure-devops-python-api/azure-devops/azure/devops/v7_1/pipelines_checks/pipelines_checks_client.py/0
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
azure-devops-python-api/azure-devops/azure/devops/v7_1/py_pi_api/__init__.py/0
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
azure-devops-python-api/azure-devops/azure/devops/v7_1/service_endpoint/models.py/0
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
azure-devops-python-api/azure-devops/azure/devops/v7_1/test/__init__.py/0
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
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ο»Ώ# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------...
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## # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. ## """Defines interfaces for interacting with Azure Quantum""" import logging from .version import __version__ from .job.job import * from .job.session import * from .workspace import * from ._client.models._enums impo...
azure-quantum-python/azure-quantum/azure/quantum/__init__.py/0
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# pylint: disable=too-many-lines,too-many-statements # coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by ...
azure-quantum-python/azure-quantum/azure/quantum/_client/operations/_operations.py/0
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## # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. ## import abc import logging import uuid from enum import Enum from datetime import datetime, timezone, timedelta from urllib.parse import urlparse, parse_qs from typing import Any, Dict, Optional, TYPE_CHECKING from azure...
azure-quantum-python/azure-quantum/azure/quantum/job/base_job.py/0
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## # Copyright (c) Microsoft Corporation. # Licensed under the MIT License. ## import warnings import inspect from itertools import groupby from typing import Dict, List, Optional, Tuple, Type from azure.quantum import Workspace try: from qiskit.providers import ProviderV1 as Provider from qiskit.providers.ex...
azure-quantum-python/azure-quantum/azure/quantum/qiskit/provider.py/0
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"""Defines targets and helper functions for the Pasqal provider""" ## # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. ## __all__ = [ "Result", ] import json from typing import Union, Dict, List, TypeVar, cast from ...job import Job class Result: """Downloads t...
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## # Copyright (c) Microsoft Corporation. # Licensed under the MIT License. ## # A resource estimation CLI that can execute resource estimation jobs from # various input formats and generate JSON output. import argparse import json import os import sys from azure.quantum import Workspace from azure.quantum.target.mic...
azure-quantum-python/azure-quantum/examples/resource_estimation/cli.py/0
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# Unit tests ## Environment Pre-reqs Refer to [the parent README](../README.md) for how to prepare the development environment before running the unit tests. ### Environment variables for Recording and Live-Tests The 'recordings' directory is used to replay network connections. To manually **create new recordings**...
azure-quantum-python/azure-quantum/tests/README.md/0
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interactions: - request: body: client_id=PLACEHOLDER&grant_type=client_credentials&client_assertion=PLACEHOLDER&client_info=1&client_assertion_type=PLACEHOLDER&scope=https%3A%2F%2Fquantum.microsoft.com%2F.default headers: Accept: - application/json Accept-Encoding: - gzip, deflate ...
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interactions: - request: body: client_id=PLACEHOLDER&grant_type=client_credentials&client_assertion=PLACEHOLDER&client_info=1&client_assertion_type=PLACEHOLDER&scope=https%3A%2F%2Fquantum.microsoft.com%2F.default headers: Accept: - application/json Accept-Encoding: - gzip, deflate ...
azure-quantum-python/azure-quantum/tests/unit/recordings/test_plugins_submit_qiskit_to_ionq_with_default_shots.yaml/0
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interactions: - request: body: client_id=PLACEHOLDER&grant_type=client_credentials&client_assertion=PLACEHOLDER&client_info=1&client_assertion_type=PLACEHOLDER&scope=https%3A%2F%2Fquantum.microsoft.com%2F.default headers: Accept: - application/json Accept-Encoding: - gzip, deflate ...
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interactions: - request: body: client_id=PLACEHOLDER&grant_type=client_credentials&client_assertion=PLACEHOLDER&client_info=1&client_assertion_type=PLACEHOLDER&scope=https%3A%2F%2Fquantum.microsoft.com%2F.default headers: Accept: - application/json Accept-Encoding: - gzip, deflate ...
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interactions: - request: body: client_id=PLACEHOLDER&grant_type=client_credentials&client_info=1&client_secret=PLACEHOLDER&scope=https%3A%2F%2Fquantum.microsoft.com%2F.default headers: Accept: - application/json Accept-Encoding: - gzip, deflate Connection: - keep-alive ...
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## # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. ## import re import unittest from unittest.mock import Mock import pytest from common import QuantumTestBase, RegexScrubbingPatterns from azure.quantum import Job, JobDetails from azure.quantum.target import Target class...
azure-quantum-python/azure-quantum/tests/unit/test_job_results.py/0
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<jupyter_start><jupyter_text>πŸ‘‹πŸŒ Hello, world: Submit a Cirq job to QuantinuumIn this notebook, we'll review the basics of Azure Quantum by submitting a simple *job*, or quantum program, to [Quantinuum](https://www.quantinuum.com/). We will use [Cirq](https://quantumai.google/cirq) to express the quantum job. Submit ...
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--- page_type: sample author: guenp description: Variational Quantum Eigensolver ms.author: guenp@microsoft.com ms.date: 05/02/2022 languages: - python products: - azure-quantum --- # Estimating the ground state energy of hydrogen using variational quantum eigensolvers (VQE) on Azure Quantum This sample shows how to ...
azure-quantum-python/samples/vqe/README.md/0
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/*------------------------------------ Copyright (c) Microsoft Corporation. Licensed under the MIT License. All rights reserved. ------------------------------------ */ import React from "react"; import { IColumn } from "@fluentui/react"; import { Icon } from "@fluentui/react/lib/Icon"; import { mergeStyleSets } ...
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Alignment ========= .. js:autoclass:: Alignment :members:
bistring/docs/JavaScript/Alignment.rst/0
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